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A Case-Based Approach to Expressivity-aware Tempo Transformation

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dc.contributor Ministerio de Ciencia y Tecnología (España)
dc.contributor European Commission
dc.creator Grachten, Maarten
dc.creator Arcos, Josep Ll.
dc.creator Lopez de Mantaras, Ramon
dc.date 2008-02-15T17:41:51Z
dc.date 2008-02-15T17:41:51Z
dc.date 2006-12
dc.date.accessioned 2017-01-31T01:00:09Z
dc.date.available 2017-01-31T01:00:09Z
dc.identifier Machine Learning Journal, 65(2/3): 411-437
dc.identifier 0885-6125
dc.identifier http://hdl.handle.net/10261/2949
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2949
dc.description The research presented in this paper is focused on global tempo transformations of music performances. We are investigating the problem of how a performance played at a particular tempo can be rendered automatically at another tempo, while preserving naturally sounding expressivity. Or, differently stated, how does expressiveness change with global tempo. Changing the tempo of a given melody is a problem that cannot be reduced to just applying a uniform transformation to all the notes of a musical piece. The expressive resources for emphasizing the musical structure of the melody and the affective content differ depending on the performance tempo. We present a case-based reasoning system called TempoExpress and will describe the experimental results obtained with our approach.
dc.description This research has been partially supported by the Spanish Ministry of Science and Technology under the project TIC2003-07776-C2-02 "CBR-ProMusic" and EU-FEDER funds
dc.description Peer reviewed
dc.format 183733 bytes
dc.format application/pdf
dc.language eng
dc.publisher Springer
dc.rights openAccess
dc.subject Artificial Intelligence
dc.subject Case-Based Reasoning
dc.subject Music
dc.title A Case-Based Approach to Expressivity-aware Tempo Transformation
dc.type Artículo


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